A wavelet approach to extracting contours of document images

L. Feng, Y.Y. Tang, L.H. Yang

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

In this paper, a new method for extracting contours of document images is proposed. It is a wavelet-based method that consists of three steps. First, by orthogonal wavelet decomposition, a document image is decomposed into a set of wavelet approximation and wavelet details. Next, contour extraction is achieved by applying a wavelet reconstruction technique. In the third step, a multiresolution-contours extraction with respect to an iteration wavelet reconstruction is implemented. A novel combination of multiresolution-contours results in clear contours of the document image. This reconstruction procedure is accompanied by an energy distribution estimation from which wavelet decomposition times can be adaptively controlled. Our method has no redundant operation compared to the scheme of wavelet transform. Therefore, the computational time and memory requirement are less than those by wavelet transform.
Original languageEnglish
Title of host publicationProceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318)
EditorsBob Werner
PublisherIEEE Canada
Pages71-74
Number of pages4
ISBN (Print)0769503187
DOIs
Publication statusPublished - 22 Sept 1999
EventProceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318) - Bangalore, India
Duration: 22 Sept 199922 Sept 1999

Conference

ConferenceProceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318)
Period22/09/9922/09/99

User-Defined Keywords

  • Image reconstruction
  • Multiresolution analysis
  • Energy resolution
  • Wavelet analysis
  • Image edge detection
  • Wavelet transforms
  • Computer science
  • Mathematics
  • Sun
  • Ear

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